Ostwestfalen-Lippe University of Applied Sciences and Arts
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Authoring Educational Hypercomics assisted by Large Language Models
Interactive stories can be an effective approach for teaching purposes. One shortcoming is the effort necessary to author and create these stories, especially complex storylines with choices for the readers. Based on recent advances in Natural Language Processing (NLP), new opportunities arise for assistance systems in the context of interactive stories. In our work, we present an authoring approach and prototypical tool for the creation of visual comic-strip like interactive stories, a type of hypercomics, that integrate an Artificial Intelligence (AI) assistance. Such comics are already used in our Gekonnt hanDeln web platform. The AI assistance provides suggestions for the overall story outline as well as how to design and write individual story frames. We provide a detailed description about the approach and its prototypical implementation. Furthermore, we present a study evaluating the prototype with student groups and how the prototype evolved in an iterative style based on the students’ feedback
Investigation of Load Transitions Between Loaded and Load Free Conductor Segments in Industrial Conductor Systems
Due to the increasingly widespread use of efficient power electronics, DC grids offer more and more advantages over AC grids. In the field of energy supply the use of DC technology is also growing and is state of the art in offshore, high-voltage, vehicle and data center applications. The spread of industrial open DC grids is currently starting and is completely different due to the requirements and the specifics of certain industrial applications such as conductor systems, e.g. monorail conveyer or rack feeder systems. This paper investigates multi feed in operation in industrial DC conductor systems, especially for transitions between loaded and load free conductor segments. For this purpose, a test bench consisting of two conductor segments is developed. Each segment is individually fed by an infeed converter. The transitions between segments will be analyzed regarding control behavior and stability
Urban green spaces, self-rated air pollution and health: A sensitivity analysis of green space characteristics and proximity in four European cities
Exploring the influence of green space characteristics and proximity on health via air pollution mitigation, our study analysed data from 1,365 participants across Porto, Nantes, Sofia, and H & oslash;je-Taastrup. Utilizing OpenStreetMap and the AID-PRIGSHARE tool, we generated nine green space indicators around residential addresses at 15 distances, ranging from 100m to 1500m. We performed a mediation analysis for these 135 green space variables and revealed significant associations between self-rated air pollution and self-rated health for specific green space characteristics. In our study, indirect positive effects on health via air pollution were mainly associated with green corridors in intermediate Euclidean distances (800-1,000m) and the amount of accessible green spaces in larger network distances (1,400-1,500m). Our results suggest that the amount of connected green spaces measured in intermediate surroundings seems to be a prime green space characteristic that could drive the air pollution mitigation pathway to health
Evaluation des Formats [Komplementar!um] - Ein kooperatives Lernformat aus dem InnoVET-Projekt Bildungsbrücken OWL
Evaluation der Podiumsdiskussion auf der Landesgartenschau Höxter - Eine Veranstaltung aus dem InnoVET-Projekt Bildungsbrücken OWL
Evaluation des Formats NFTE Schulung - Ein kooperatives Lernformat aus dem InnoVET-Projekt Bildungsbrücken OWL
The State of Health of Electrical Connectors
For modern machines, factories and electric and autonomous vehicles, the importance of vreliable electrical connectors cannot be overstated. With an increasing number of connectors being used in machines, factories and vehicles, ensuring their reliability is crucial for comfort and safety alike. One of the key indicators of reliability is the lifetime of connectors. To evaluate the lifetime of electrical connectors, a testing method and a model for calculating their lifetime based on the test data were developed. The results from these tests were compared to failure analysis data from long-term field operations. The findings indicate that the laboratory tests can accurately reproduce the main failures observed in the field. However, such lifetime tests can be time- and labor-intensive. To address this challenge, a data-driven method is proposed that predicts the lifetime of electrical connectors using statistical analysis of electrical contact resistance data collected from short-term tests. The predictions from this method were compared to actual results obtained from long-term tests. A strong correlation was observed between the contact resistance development in short-term tests and the number of failures in later stages of testing. Thus, apart from predicting the lifetime of connectors, this method can also be applied for failure prognosis in real-time operations
A multi-skill RCPSP variant for persons with disabilities in sheltered workshops
Sheltered workshops face the challenge of meeting their manufacturing objectives while considering the individual competencies and assistance needs of persons with disabilities. Moreover, work processes in sheltered workshops are weakly structured, allowing for frequent task interruptions and changes based on the preferences of impaired work persons. While the Industry 4.0 literature provides many real-time scheduling algorithms for incorporating multiple objectives and constraints, these algorithms fall short of the characteristics of sheltered workshops. The resource-constrained project scheduling problem (RCPSP) is an optimization problem for computing manufacturing plans considering multiple objectives and resource constraints. Among many different RCPSP variants proposed in the literature, the multi-skill RCPSP (MSRCPSP) variant considers the individual skills of work persons when generating manufacturing plans. With the ongoing digital transformation of enterprises, new assistance systems enter the market, providing individual support to impaired work persons and compensating for lacking skills and abilities.
This paper proposes an MSRCPSP variant that incorporates assistance systems and learning tasks compensating for competence gaps in the skill matrix of impaired work persons. Furthermore, it decomposes tasks into individual work objects, which accounts for frequent task interruptions and task preferences of work persons. The algorithm is described and demonstrated using a manufacturing data set from an actual sheltered workshop. In a small evaluation study, the algorithm is tested by scheduling two impaired work persons in the assembly department of a medium-sized manufacturing company in the primary labor market. The evaluation study proves its real-world applicability and the suitability of scheduling algorithms for participation and inclusive work
Research Lighting and Inclusion: How Can Lighting Create a Better Museum Experience for the Visually Impaired?
Lighting in museums is crucial for showcasing exhibits while controlling light exposure to protect sensitive artworks. But what about enhancing the visitor experience, especially for the visually impaired? This research began with extensive desktop studies and evolved through collaboration between TH-OWL University in Detmold, Germany, who specialize in perception and spatial effects at the Institute for Design Strategies (IDS) and Buro Happold, integrated consulting engineers and advisors. Our partners include Sentistic, a startup providing sensors for anonymous space usage data, and Zumtobel, which supplied professional lighting equipment for our tests. We tested our hypotheses during a temporary exhibition on inclusion at DASA in Dortmund, Germany. The exhibition, titled “Respekt,” runs from May 2024 to February 2025. Our field study was divided into two phases to compare and assess lighting in different settings. The first phase used the museum’s standard lighting, while the second employed Zumtobel’s equipment to create a more balanced lighting scenario. Each phase lasted about one month. Our research utilized quantitative methods (photo surveys with 360° HDR imaging, statistical space usage data, and on-site light reflection measurements) and qualitative methods (interviews with visually impaired visitors and on-site observations). We gained significant insights from this initial study, which we aim to share with the museum community. We hope to engage more institutions in exploring how their spaces and exhibitions can better serve special visitors. While our focus began with the visually impaired, many other areas of inclusion remain to be researched. Our robust methodology can be applied to further studies in this field